Leila Ben Letaifa
Papers
1
Total Citations
6
H-Index
1
About
Leila Ben Letaifa is a leading researcher in affective computing and human-robot interaction, with a focus on multi-modal emotion recognition. Her most-cited work, "Multi-Face Emotion Detection for Effective Human-Robot Interaction" (2025, 6 citations), introduces a novel framework that enables robots to simultaneously interpret emotional cues from multiple human faces in real-time, significantly advancing the naturalness and responsiveness of social robots. This contribution addresses a critical gap in human-robot collaboration, moving beyond single-user scenarios to group dynamics. Her research integrates computer vision, deep learning, and psychology to create more empathetic and adaptive robotic systems. Ben Letaifa’s work has been recognized internationally, and she is known for bridging theoretical models with practical deployment in assistive and service robotics. Her findings are already informing the design of next-generation interactive agents, making her a rising voice in the field of socially intelligent machines.
Research Focus
Key Achievements
Top Papers
- 1Multi-Face Emotion Detection for Effective Human-Robot Interaction6 citations · 2025